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This project uses advanced AI and computer vision (YOLOv8) to detect traffic accidents in real-time, monitor vehicle interactions, and provide accurate alert snapshots.\n\n## Project Snapshots \u0026 Demos\n\nBelow are some previews and action shots of the system continuously tracking and detecting events.\n\n### System Interfaces \u0026 Usage\n\n![System Interface 1](assets/screenshot1.png)\n\n![System Interface 2](assets/screenshot2.png)\n\n### Real-Time Detections \u0026 Counting\n\n![Car \u0026 Human Counting Demo](assets/demo.jpeg)\n\n### Auto-Generated Accident Alerts\n\nWhen an accident is captured, the system automatically takes high-confidence snapshots of the event:\n\n![Accident Snapshot 1](assets/accident1.jpg)\n\n![Accident Snapshot 2](assets/accident2.jpg)\n\n![Accident Snapshot 3](assets/accident3.jpg)\n\n## Features\n- **Real-Time Detection:** Rapidly identify crashes from incoming video feeds.\n- **Bounding Box Tracking:** Detailed object tracking using YOLOv8, separating humans and vehicles.\n- **Precision Validation:** Confidence checks and IoU intersection math minimize false-positive alerts.\n- **Video \u0026 Stream Support:** Analyze pre-recorded video files (mp4) or live CCTV feeds directly.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnothing-dot-exe%2Faccident-detection-and-alert-system-using-ml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnothing-dot-exe%2Faccident-detection-and-alert-system-using-ml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnothing-dot-exe%2Faccident-detection-and-alert-system-using-ml/lists"}